TY - JOUR
T1 - Variability of ventricular premature complexes and mortality risk
AU - Schmidt, Georg
AU - Morfill, Gregor E.
AU - Barthel, Petra
AU - Hadamitzky, Martin
AU - Kreuzberg, Heinz
AU - Demmel, Valentin
AU - Schneider, Raphael
AU - Ulm, Kurt
AU - Schömig, Albert
PY - 1996
Y1 - 1996
N2 - A method using a parameter from the field of nonlinear dynamics to quantify the variability of ventricular premature complexes (VPCs) is presented. One hundred patients with coronary artery disease and ≥ VPCs/hour were included in the study. The RR intervals were plotted in a three- dimensional artificial phase space, and the structures in phase space were quantified by the local scaling indices, α. In the frequency distribution histogram, n(α), for each patient, the maximum of the ventricular ectopies α(VPC), adjusted to the VPC frequency, was assessed; α(VPC) was used as the risk indicator. Endpoints were total mortality and sudden cardiac death. During follow-up (mean 3.1 years), 28 out of 100 patients died, 16 suddenly; α(VPC) had a significant prognostic impact and was independent from other risk indicators, such as left ventricular ejection fraction (LVEF). Patients who died during follow-up were characterized by a high α(VPC). The optimal discrimination of high risk patients and low risk patients occurred at α(VCP) = 3.0. After 4 years, the survival rate of patients with a α(VPC) > 3.0 was 59%, in contrast to 97% in patients with α(VCP) ≤ 0.3. As to the sudden death mortality, the survival rates were 74% and 97%, respectively. The difference between the groups were significant for both endpoints. Patients with an increased VPC variability (i.e., α(VPC) > 3.0) were at enhanced risk of sudden death and total mortality risk; α(VPC) was independent from other risk indicators such as the LVEF or heart rate variability parameters.
AB - A method using a parameter from the field of nonlinear dynamics to quantify the variability of ventricular premature complexes (VPCs) is presented. One hundred patients with coronary artery disease and ≥ VPCs/hour were included in the study. The RR intervals were plotted in a three- dimensional artificial phase space, and the structures in phase space were quantified by the local scaling indices, α. In the frequency distribution histogram, n(α), for each patient, the maximum of the ventricular ectopies α(VPC), adjusted to the VPC frequency, was assessed; α(VPC) was used as the risk indicator. Endpoints were total mortality and sudden cardiac death. During follow-up (mean 3.1 years), 28 out of 100 patients died, 16 suddenly; α(VPC) had a significant prognostic impact and was independent from other risk indicators, such as left ventricular ejection fraction (LVEF). Patients who died during follow-up were characterized by a high α(VPC). The optimal discrimination of high risk patients and low risk patients occurred at α(VCP) = 3.0. After 4 years, the survival rate of patients with a α(VPC) > 3.0 was 59%, in contrast to 97% in patients with α(VCP) ≤ 0.3. As to the sudden death mortality, the survival rates were 74% and 97%, respectively. The difference between the groups were significant for both endpoints. Patients with an increased VPC variability (i.e., α(VPC) > 3.0) were at enhanced risk of sudden death and total mortality risk; α(VPC) was independent from other risk indicators such as the LVEF or heart rate variability parameters.
KW - VPC variability
KW - coronary heart disease
KW - mortality
KW - nonlinear dynamics
KW - sudden death
UR - http://www.scopus.com/inward/record.url?scp=0029935897&partnerID=8YFLogxK
U2 - 10.1111/j.1540-8159.1996.tb03395.x
DO - 10.1111/j.1540-8159.1996.tb03395.x
M3 - Article
C2 - 8774829
AN - SCOPUS:0029935897
SN - 0147-8389
VL - 19
SP - 976
EP - 980
JO - Pacing and Clinical Electrophysiology
JF - Pacing and Clinical Electrophysiology
IS - 6
ER -